Search Results for author:
Found 3 papers, 0 papers with code
Self-Preference Bias in LLM-as-a-Judge
To explore the causes, we hypothesize that LLMs may favor outputs that are more familiar to them, as indicated by lower perplexity.
MergePrint: Robust Fingerprinting against Merging Large Language Models
As the cost of training large language models (LLMs) rises, protecting their intellectual property has become increasingly critical.
Verbosity Bias in Preference Labeling by Large Language Models
In recent years, Large Language Models (LLMs) have witnessed a remarkable surge in prevalence, altering the landscape of natural language processing and machine learning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
